Data engineering Job Salaries

Find salary information for remote positions requiring Data engineering skills. Make data-driven decisions about your career path.

Data engineering

Median high-range salary for jobs requiring Data Engineering:

$185,000

This analysis is based on salary ranges collected from 139 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $140,000 - $185,000

25% of job descriptions advertised a maximum salary above $220,000.
5% of job descriptions advertised a maximum salary above $285,170.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include Leadership, Snowflake and Machine Learning. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

Leadership
26% jobs mention Leadership as a required skill. The Median Salary Range for these jobs is $178,575 - $212,500
- 25% of job descriptions advertised a maximum salary above $249,500.
- 5% of job descriptions advertised a maximum salary above $311,000.
Snowflake
25% jobs mention Snowflake as a required skill. The Median Salary Range for these jobs is $164,621 - $205,776
- 25% of job descriptions advertised a maximum salary above $240,000.
- 5% of job descriptions advertised a maximum salary above $332,000.75.
Machine Learning
24% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $157,500 - $199,500
- 25% of job descriptions advertised a maximum salary above $220,000.
- 5% of job descriptions advertised a maximum salary above $278,000.
AWS
32% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $157,500 - $198,000
- 25% of job descriptions advertised a maximum salary above $218,500.
- 5% of job descriptions advertised a maximum salary above $250,000.
Python
71% jobs mention Python as a required skill. The Median Salary Range for these jobs is $135,000 - $180,000
- 25% of job descriptions advertised a maximum salary above $220,000.
- 5% of job descriptions advertised a maximum salary above $278,650.
SQL
71% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $130,000 - $180,000
- 25% of job descriptions advertised a maximum salary above $220,000.
- 5% of job descriptions advertised a maximum salary above $298,160.
Communication Skills
44% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $115,196 - $170,000
- 25% of job descriptions advertised a maximum salary above $220,000.
- 5% of job descriptions advertised a maximum salary above $277,250.
Collaboration
39% jobs mention Collaboration as a required skill. The Median Salary Range for these jobs is $123,335 - $169,727.5
- 25% of job descriptions advertised a maximum salary above $215,000.
- 5% of job descriptions advertised a maximum salary above $274,000.
ETL
43% jobs mention ETL as a required skill. The Median Salary Range for these jobs is $130,000 - $161,450
- 25% of job descriptions advertised a maximum salary above $210,388.
- 5% of job descriptions advertised a maximum salary above $282,200.

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include Blockchain intelligence and financial services, Healthcare and Customer Data Platform. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

Blockchain intelligence and financial services
1% jobs are in Blockchain intelligence and financial services industry. The Median Salary Range for these jobs is $220,000 - $262,500
- 25% of job descriptions advertised a maximum salary above $270,000.
Healthcare
5% jobs are in Healthcare industry. The Median Salary Range for these jobs is $179,000 - $220,000
- 5% of job descriptions advertised a maximum salary above $277,000.
Customer Data Platform
1% jobs are in Customer Data Platform industry. The Median Salary Range for these jobs is $170,000 - $220,000
B2B technology
1% jobs are in B2B technology industry. The Median Salary Range for these jobs is $130,000 - $200,000
Cybersecurity
1% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $116,500 - $197,500
- 25% of job descriptions advertised a maximum salary above $205,000.
Mental Health
2% jobs are in Mental Health industry. The Median Salary Range for these jobs is $138,500 - $162,900
- 25% of job descriptions advertised a maximum salary above $224,475.
- 5% of job descriptions advertised a maximum salary above $245,000.
Legal Services
4% jobs are in Legal Services industry. The Median Salary Range for these jobs is $115,196 - $152,625
- 25% of job descriptions advertised a maximum salary above $164,218.75.
- 5% of job descriptions advertised a maximum salary above $199,000.
Advertising management
1% jobs are in Advertising management industry. The Median Salary Range for these jobs is $135,000 - $150,000
- 25% of job descriptions advertised a maximum salary above $170,000.
Public Health
9% jobs are in Public Health industry. The Median Salary Range for these jobs is $103,500 - $143,500
Consumer insights
1% jobs are in Consumer insights industry. The Median Salary Range for these jobs is $84,000 - $120,000

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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🔥 Data Engineer (Finance)

Posted about 12 hours ago

📍 Canada

🧭 Full-Time

💸 125000.0 - 145000.0 CAD per year

🔍 FinTech

🏢 Company: KOHO

5+ years of mastery in data manipulation and analytics architecture.
Advanced expertise in dbt, including incremental modeling, materializations, snapshots, variables, macros, and jinja.
Strong knowledge of SQL with the ability to write efficient SQL queries.
Proficient in SQL query optimization and data warehouse design.
A finance/accounting background is considered a plus.

Building strong relationships with finance stakeholders and prioritizing their analytics requests.
Translating business needs into clear requirements for financial data.
Using dbt (Core and Cloud) to transform, test, deploy, and document financial data while applying software engineering best practices.
Troubleshooting variances in reports and seeking to eliminate them at the source.
Creating game-changing data products that empower the finance team.
Architecting solutions that convert complex financial data into actionable insights.
Monitoring and optimizing the performance of the data warehouse (AWS Redshift).
Developing scalable, self-service analytics solutions to democratize data access.
Creating dashboards and reports in Sigma and Drivetrain as needed.
Defining processes, building tools, and providing training for data users across the organization.

SQL Data engineering Data analytics

Posted about 12 hours ago

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🔥 Senior Software Engineer

Posted about 13 hours ago

📍 United States, Canada

🧭 Full-Time

💸 175000.0 - 210000.0 USD per year

🔍 Mining and mineral exploration technology

🏢 Company: KoBold Metals👥 101-250💰 $491,455,627 Series C 3 months agoArtificial Intelligence (AI)Mineral Mining Software

4+ years of software engineering experience, ideally in production cloud data systems.
Proficiency with Python.
Ability to write production-quality code that is correct, readable, well-tested, scalable and extensible.
Skilled in large-scale system design.
A track record of taking ownership from problem definition to project delivery.

Deep engagement with exploration geologists and data scientists.
Building data pipelines and tooling for deriving insights from exploration data.
Leading a small group of software engineers for project delivery.
End-to-end ownership of projects from design to implementation.
Responding to design and code feedback while providing feedback to teammates.
Operationally managing the team's services and assisting scientific colleagues.

AWS Docker Python Cloud Computing Kubernetes Data engineering

Posted about 13 hours ago

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🔥 Lead Partner Sales Engineer

Posted about 14 hours ago

📍 United States

🧭 Full-Time

💸 164621.0 - 205776.0 USD per year

🔍 Data movement and analytics technology

🏢 Company: Fivetran

Deep understanding of GSI and Reseller pre-sales motions and the related technical teams.
Experience with GSI and Reseller sales methodologies and complex sales cycles.
Knowledge of technical enablement approaches, training programs, and maintaining technical excellence.
Hands-on experience with cloud data platforms, data lakes, data movement technologies, and applications.
Familiarity with programming languages like Python and SQL.

Create, develop, and build ongoing relationships with GSI and Reseller pre-sales teams.
Interact with top GSI and Reseller partners, tracking KPIs related to partner enablement and technical content creation.
Represent Fivetran as the technical liaison and collaborate with sales managers to clarify Fivetran's value proposition.
Assist sales managers in communicating Fivetran’s value to existing and prospective partners.
Engage in hands-on activities involving Fivetran and the broader data ecosystem.

Python SQL Cloud Computing ETL Hadoop Machine Learning MongoDB Oracle Snowflake Data engineering REST API

Posted about 14 hours ago

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🔥 Senior Software Engineer, Data Availability

Posted 1 day ago

📍 North America, Europe

🧭 Full-Time

💸 140000.0 - 170000.0 CAD per year

🔍 Blockchain technology

Proven extensive experience in software engineering and distributed systems.
Ability to write production-ready applications in Go.
Ability to reason about tradeoffs between different engineering approaches.
Familiarity with data storage solutions, including SQL and NoSQL databases.
Experience with containerized infrastructure, specifically Docker and Kubernetes.
Results-oriented individual with high emotional intelligence and attention to detail.
Experience architecting solutions considering maintenance, scalability, and security.
Familiarity with agile team processes.
Collaborative approach to problem-solving.

Create high performance indexing software to ingest data from blockchains or other sources in Go.
Take full responsibility for technical architecting and team processes.
Prioritize deliverables and set timelines in collaboration with business units.
Make technical decisions between engineering approaches and achieve consensus.
Process big data collections and design fast-read data storage solutions.
Design and implement high-availability APIs for large blockchain datasets.
Design next-generation data pipelines.
Mentor junior team members.

Docker SQL Blockchain Kubernetes Data engineering Go Nosql

Posted 1 day ago

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🔥 People Analytics Solutions Lead

Posted 1 day ago

📍 United States

💸 157800.0 - 241800.0 USD per year

🔍 Automotive

🏢 Company: careers_gm

7+ years of experience in data engineering, architecture, analytics, science, or BI applications.
5+ years of experience in leading data transformation in People Analytics/HR.
3+ years of experience successfully leading teams.
Strong understanding of HR data and employee lifecycle processes.
Knowledge of People Analytics technology including cloud data infrastructure.
Experience with SQL, R, Python and data visualization tools.
Experience implementing HR data governance frameworks.

Develop and implement People Analytics Solutions strategy & roadmap.
Build data environment and technology stack for People Analytics teams.
Lead implementation of new analytics solutions.
Develop enhanced dashboard data sharing and security model governance.
Advance AI/ML capabilities using modeling techniques.
Work closely with HROS, IT teams, and vendors.

Python SQL Data engineering Data science Data visualization Data analytics

Posted 1 day ago

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🔥 Lead Partner Sales Engineer

Posted 2 days ago

📍 US

🧭 Full-Time

💸 164621.0 - 205776.0 USD per year

🔍 Data Movement and Management

Deep understanding of GSI and Reseller pre-sales processes.
Experience with sales methodologies and managing complex sales cycles.
Knowledge of technical enablement for GSI and Reseller efficiency.
Hands-on experience with cloud data platforms and data lakes.
Familiarity with data movement technologies and databases.
Technical skills in programming and data transformation.

Create, develop, build, and take ownership of ongoing relationships with GSI and Reseller pre-sales technical team members.
Interact daily with Fivetran’s top GSI and Reseller partners and track key performance indicators.
Represent Fivetran as the partner technical liaison and collaborate with sales managers.
Assist in conveying Fivetran’s value proposition to partners.
Participate in hands-on technical demonstrations and labs.

Python SQL ETL Hadoop Microsoft SQL Server MongoDB Oracle Snowflake Data engineering REST API

Posted 2 days ago

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🔥 Senior Data Engineer (Remote, USA)

Posted 2 days ago

📍 USA

💸 152960.0 - 183552.0 USD per year

🔍 Data Engineering and Observability Solutions

Software development skills in Python, Java, Scala, or Go.
High proficiency in SQL.
Experience with workflow orchestration systems like Prefect, Dagster, or Airflow.
Knowledge of MLOps best practices.
Familiarity with dbt or similar data transformation tools.
Excellent communication skills for technical topics.

Build and maintain production quality data pipelines between operational systems and BigQuery.
Implement data quality and freshness checks to ensure data accuracy and consistency.
Build and maintain machine learning pipelines for automated model validation and deployment.
Create and maintain documentation for data engineering processes and workflows.
Maintain observability and monitoring of internal data pipelines.
Troubleshoot data pipeline issues to ensure data availability.
Contribute to dbt systems ensuring efficiency and availability.

Python SQL ETL GCP Machine Learning Data engineering

Posted 2 days ago

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🔥 Staff Data Engineer, Observability Data Lake

Posted 4 days ago

📍 United States of America

💸 106605.0 - 213210.0 USD per year

🔍 Healthcare

A minimum of 7 years of experience in database engineering, with a focus on SQL query optimization and data management.
Strong proficiency in SQL and experience with query optimization techniques.
Expertise in managing and optimizing both structured and unstructured data.
Experience with ClickHouse for high-speed data storage and retrieval.
Familiarity with data pipeline tools, particularly Vector.dev.
Strong analytical skills, with a focus on delivering actionable insights and improvements.
Excellent problem-solving skills and the ability to work collaboratively in a dynamic, fast-paced environment.
Strong communication and interpersonal skills, capable of working effectively with diverse teams.
Experience with modern development tools and practices, including version control, continuous integration/continuous deployment (CI/CD), and agile methodologies.

Optimize SQL queries to ensure high performance and efficiency in data processing and retrieval.
Manage and optimize the storage and retrieval of both structured and unstructured data within the observability data lake.
Collaborate with the Technical Lead and other team members to support the architecture, engineering, and optimization of the observability data lake.
Leverage ClickHouse for high-speed data storage and retrieval, ensuring seamless integration with data pipelines and visualization tools.
Work closely with the data pipeline team to ensure efficient data ingestion and correlation at scale using Vector.dev.
Implement best practices for database management, including indexing, partitioning, and query optimization.
Create and maintain documentation for database schemas, query optimization techniques, and data management processes.
Troubleshoot and resolve database-related issues, providing expert guidance and solutions to enhance performance.
Stay updated on the latest technologies and practices in database management and optimization.
Participate in project meetings, providing technical oversight and contributing to the successful delivery of observability solutions.

SQL Clickhouse Data engineering

Posted 4 days ago

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🔥 Product Management Director - Data Analytics

Posted 4 days ago

📍 US

🧭 Full-Time

💸 180000.0 - 200000.0 USD per year

🔍 Senior living technology

🏢 Company: Inspiren👥 11-50💰 $2,720,602 about 2 years agoMachine Learning Analytics Information Technology Health Care

Bachelor's degree in Data Analytics, Data Science, Computer Science, or related field.
8+ years of experience in product management focusing on data analytics or related fields.
Experience with data analytics tools like Tableau or Power BI.
Expertise in Excel for data analysis.
Experience with machine learning algorithms for predictive analytics.
Proven track record in leading data analytics teams.

Define and communicate the strategic vision for data analytics products.
Develop and manage a portfolio of data analytics products.
Ensure product scalability and measurable business value.
Enable actionable insights through product development.
Measure product performance and customer usage.
Conduct market research for product opportunities.
Prioritize product features based on data insights.
Lead, mentor, and manage a team of product managers.

Business Intelligence Data Analysis Machine Learning Microsoft Power BI Tableau Data engineering Data analytics

Posted 4 days ago

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🔥 Sr. Software Engineer - Data Imports

Posted 4 days ago

📍 USA

💸 125000.0 - 195000.0 USD per year

🔍 Technology and Data

🏢 Company: Addepar👥 501-1000💰 $166,262,336 Series F over 3 years ago🫂 Last layoff almost 2 years agoFinancial Services SaaS FinTech Software

B.S., or M.S. in Computer Science or similar technical field of study (or equivalent practical experience).
Demonstrated ability as a professional software engineer and experience with any object-oriented programming language. Expertise in Java is a plus.
Experience in building and evolving large-scale, impactful distributed systems.
Experience with databases, SQL, NoSQL, OLAP, and/or data lake architectures.
Strong AWS knowledge and architectural experience is a plus.
A strong ownership mentality and drive to solve the most important problems.
Passion for implementing standard processes with a bias toward smart automation.
Proven ability to collaborate with and mentor other engineers.

Architect, implement, and maintain engineering solutions to solve complex problems; write well-designed, testable code.
Lead individual project priorities, deadlines, and solutions.
Collaborate effectively with product managers, engineers, and partners on projects.
Communicate technical ideas and set direction on projects with a focus on solving business challenges.
Mentor other engineers on the team.
Document software functionality, system design, and project plans, including clean, readable code with comments.
Promote engineering standard methodologies and principles.

AWS Backend Development SQL Java Data engineering Nosql

Posted 4 days ago

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Shown 10 out of 158

Data engineering Job Salaries

Median high-range salary for jobs requiring Data Engineering:

Skills and Salary

Leadership

Snowflake

Machine Learning

AWS

Python

SQL

Communication Skills

Collaboration

ETL

Industries and Salary

Blockchain intelligence and financial services

Healthcare

Customer Data Platform

B2B technology

Cybersecurity

Mental Health

Legal Services

Advertising management

Public Health

Consumer insights

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